Artificial Intelligence
University of Bristol
UCAS Code: G164 | Bachelor of Engineering (with Honours) - BEng (Hon)
University of Bristol
UCAS Code: G164 | Bachelor of Engineering (with Honours) - BEng (Hon)
Entry requirements
A level
A-level standard offer: A*AA including Mathematics. A-level contextual offer: AAB including A in Mathematics. Please visit: bristol.ac.uk/study/undergraduate/entry-requirements-qualifications/contextual-offers/ for more information about contextual offers.
Access to HE Diploma
Access to HE Diploma in Engineering, Science, or Computing (or similar titles) with 30 credits at Distinction and 15 at Merit, and A in A-level Mathematics. Or Access to HE Diploma in Engineering, Science, or Computing (or similar titles) with 30 credits at Distinction and 15 at Merit, including at least 12 credits at Distinction in Mathematics (including algebra, calculus and trigonometry), and achieving the required level in the University of Bristol mathematics test. Mature students can contact mature-students@bristol.ac.uk to check the suitability of their Access course.
Requirements are as for A-levels, where you can substitute a non-subject specific grade for the Welsh Baccalaureate Advanced Skills Challenge Certificate at that grade.
International Baccalaureate Diploma Programme
Standard offer: 38 points overall with 18 at Higher Level, including 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations). Contextual offer: 34 points overall with 17 at Higher Level, including 6 at Higher Level in Mathematics (either Analysis and Approaches or Applications and Interpretations). Please visit: bristol.ac.uk/study/undergraduate/entry-requirements-qualifications/contextual-offers/ for more information about contextual offers.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC: D*DD in either Engineering BTEC National Level 3 Extended Diploma, plus A in Mathematics at A-level (or equivalent), or any Applied General BTEC National Level 3 Extended Diploma, plus A in Mathematics at A-level (or equivalent). Applicants taking Engineering BTEC may be invited to take the University of Bristol mathematics test in place of A-level Mathematics.
Scottish Advanced Higher
Advanced Higher: AA including Mathematics
Scottish Higher
Standard Higher: AAAAA
Requirements are as for A-levels, where you can substitute a non-subject specific grade for the Welsh Baccalaureate Advanced Skills Challenge Certificate at that grade.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
In this three-year course, you will learn to understand and apply Artificial Intelligence. You'll learn from our world-class researchers as they develop new algorithms and apply AI to innovations in healthcare, finance, environmental modelling, robotics and the technologies of the future.
Today Artificial Intelligence stands at the forefront of technological innovation, encompassing the design and refinement of algorithms that not only exhibit intelligent behavior but also possess the capacity to adapt and learn dynamically from feedback, evidence, and data. Machine learning is at the heart of modern AI and is a rapidly advancing field with an expanding toolbox of new algorithms for modelling, forecasting and classification in complex application domains. This technology has huge transformative potential, providing new avenues for creativity and problem-solving, and helping us to tackle the difficult and urgent social and environmental challenges that define the 21st century. However, it also opens new ethical, philosophical and regulatory issues that must be faced head-on to ensure fairness and to prevent potential harm.
This interdisciplinary Bachelor of Engineering in AI aims to provide a broad and in-depth understanding of modern AI and machine learning, at both applied and foundational levels. You will be taught by experts in AI and machine learning as well as practitioners with extensive experience of applying AI in their domain. You will interact with our industrial partners who will provide insight into the use of AI in sectors including software development, pharmaceutical, energy, Formula One racing, investment and consultancy, and act as stakeholders on projects. Furthermore, you will have an industrial mentor from whom you can gain individual insights and advice during your studies.
The programme will train you to become an adept AI Engineer with extensive hands-on experience and the expertise to apply modern machine learning to diverse application domains including health, robotics, finance, manufacturing and design. You will become responsible problem solvers in AI and machine learning. For this, you will learn how to programme and manage data at scale; you will study the mathematics that underpins AI, so that you can understand its strengths and limitations; you will develop problem-solving skills, by working in teams and individually on challenging open-ended real-world problems; and you will explore the new ethical and legal challenges that AI brings.
When you graduate, you will be ideally placed to play pivotal roles in the AI transformation of our economy and society, ensuring that this new technology is used effectively and with care.
Tuition fees
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The Uni
University of Bristol
Computer Science, Electrical and Electronic Engineering, and Engineering Maths
What students say
How do students rate their degree experience?
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Artificial intelligence
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Most popular A-Levels studied (and grade achieved)
After graduation
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Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£37k
£47k
£73k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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